Comparison of machine learning classification techniques to predict implantation success in an IVF treatment cycle.

Yigit, Pakize; Bener, Abdulbari; Karabulut, Seda

Yigit, Pakize; Bener, Abdulbari; Karabulut, Seda.

Afiliação

Yigit P; Department of Medical Statistics and Medical Informatics, Istanbul Medipol University, Faculty of Medicine Istanbul, Turkey. Electronic address: pyigit@medipol.edu.tr.
Bener A; Department of Medical Statistics and Medical Informatics, Istanbul Medipol University, Faculty of Medicine Istanbul, Turkey; Department of Evidence for Population Health Unit, School of Epidemiology and Health Sciences, The University of Manchester Manchester, UK.
Karabulut S; Department of Histology and Embryology, Medipol International School of Medicine, Istanbul Medipol University Istanbul, Turkey.

Reprod Biomed Online ; 45(5): 923-934, 2022 11.

Article em En | MEDLINE | ID: mdl-36088224

Assuntos

Implantação do Embrião; Aprendizado de Máquina; Humanos; Teorema de Bayes; Estudos Retrospectivos; Fertilização in vitro

Palavras-chave

IVF; Implantation prediction; Machine learning; Prediction models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Implantação do Embrião / Aprendizado de Máquina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Reprod Biomed Online Assunto da revista: MEDICINA REPRODUTIVA Ano de publicação: 2022 Tipo de documento: Article

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